Enterprise AI That is Smart, Context-Aware, and in Control

CloudBees is redefining how AI integrates into software delivery: intelligent automation that works with your tools, policies, and pipelines to drive speed, insight, and control at every stage. No chaos. No lock-in. Just enterprise-ready automation that actually works.

A Smarter, Safer Standard for Software Delivery

Agentic DevOps uses intelligent agents to accelerate delivery, reduce developer toil, and automate decision-making while maintaining enterprise-grade compliance, traceability, and toolchain independence.

What Agentic DevOps Delivers Today

  • MCP Server: Unified Context

    CloudBees’ Model Context Protocol (MCP) connects the dots across builds, tests, codes, and users, making every action context-aware.

  • Empower Your Agents to Take Action

    Plug in your AI agents and go beyond suggestions: auto-triage, fix flaky tests, open PRs, enforce pipeline policies.

  • Designed for Your Existing Stack

    Avoid costly rip and replace efforts by simply layering in smarter automation onto what already works.

  • Built-in Guardrails and Transparency

    Agentic doesn’t mean out-of-control; it means enterprise-safe intelligence with default governance.

[8/12] Agentic DevOps Capability - Media & List - Image

The Right AI for Enterprise Engineering Teams

Agentic DevOps enables organizations to move faster without sacrificing control. We’re not replacing your developers; we’re removing what slows them down.

Surface Insights in the Flow of Work

Give developers the answers they need where they already live: CLI, IDE, Slack. With contextual failure summaries and actionable steps, they fix faster, switch less, and focus more.

Resolve Issues in Real-Time

From flaky tests to pipeline failures, agents triage, explain, and sometimes fix without human intervention. Mean Time To Recovery (MTTR) drops while platform trust and performance surge.

Autonomous Doesn’t Mean Uncontrolled

All actions follow your enterprise policies. Everything is auditable. You unlock speed and intelligence without shadow ops, risky patches, or compliance workarounds.

Proof in Action: Agentic DevOps Across the Enterprise SDLC

Diagnose and Resolve CI Pipeline Failures Automatically

Agentic DevOps explains why your pipeline failed, queries internal knowledge and known issue history for likely causes, and proposes fixes before you even open a support ticket. Fewer bottlenecks. Faster recovery. Smarter resilience.

Manage Feature Flag Configurations

From one prompt, Agentic DevOps inspects your environment for all active flags, updates feature toggles as instructed, and summarizes the impact, all in editable tables. No need to hunt down scattered configs or toggle UIs across services.

Remediate Security Vulnerabilities

Agentic DevOps identifies vulnerabilities, recommends remediation, applies fixes, and clearly explains the actions taken. Using natural language prompts, developers can interact with workflows that previously required security SMEs and manual effort.

Ask What’s Possible: Let the Agents Tell You What It Can Do

Agentic DevOps isn’t a guessing game; just ask what it can help with beyond basic queries. The system responds with contextual, actionable capabilities tied to your infrastructure. No more hidden features or time-consuming onboarding processes.

Industry leaders like Gartner and McKinsey agree: AI-driven insights are critical for scaling DevOps, enhancing incident response, and boosting productivity.

Agentic AI Adoption

33%

Enterprise apps to use agentic AI by 2028

AI DevOps Productivity

30%

Boost in delivery efficiency

AI in DevOps by 2027

75%

Use AI insights in pipelines

Agentic DevOps for the Enterprise Resources

  • Webinar

    Agentic DevOps: How AI Agents Are Transforming Software Delivery

    Discover how unified data, agentic DevOps, and next-gen tooling are accelerating development, enhancing developer experience, and driving innovation at scale.

    Watch Now
  • Blog

    Introducing the CloudBees MCP Server

    The CloudBees Unify Model Context Protocol (MCP) Server is a core service that acts as the critical bridge between CloudBees Unify and the expanding ecosystem of LLM-powered agents, IDEs, and development tools.

    Read More
  • Docs

    Getting Started with CloudBees MCP

    Installation guide for setting up CloudBees MCP and downloading your client across agents such as Amazon Q, Gemini, and Codename Goose.

    View Our Setup Docs

Explore more

Talk to a CloudBees Unify Expert

Agentic AI is redefining DevOps. CloudBees brings intelligence to every step, empowering DevOps teams to boost productivity at enterprise scale without disruption.